Precise vs. Approximate Numeracy in Stroke
Precise vs. Approximate Numeracy in Stroke Participants
Normalized structural brain scans and manual lesion masks of chronic left hemisphere stroke survivors, with numeracy, aphasia and education scores, shared for lesion-symptom mapping of precise and approximate number skills and their link to language.
Overview
This OpenNeuro release accompanies two lesion-symptom mapping studies from the Fiez lab at the University of Pittsburgh. The question behind it is how damage to the left hemisphere affects two kinds of number skill: approximate numeracy (judging which of two dot arrays is larger) and precise numeracy (reading, writing and calculating exact numbers), and how each relates to language and aphasia. Participants are chronic stroke survivors recruited through the Western Pennsylvania Patient Registry. The release shares spatially normalized brain images and hand-drawn lesion masks together with per-person test scores, so the images can be used for lesion segmentation work and the scores for lesion-behavior regression.
Composition
Snapshot 2.1.0 contains 105 participants; the Cortex paper analysed 104 and the second version added one more. Each participant has one skull-stripped brain volume normalized to the ICBM152 template, one binary lesion mask in that space and one copy of the mask smoothed with a 4 mm Gaussian kernel. The participants file records image source (research MRI, clinical MRI or clinical CT), age, years of education, the Western Aphasia Battery aphasia quotient, left hemisphere lesion volume, z-scores for approximate and precise numeracy, and factor scores from two factor analyses. In the paper cohort, 59 participants are male and 45 female, with a mean age of about 62 years.
Acquisition
Research-grade MRI exists for 80 people in the paper cohort: 32 were scanned on a Siemens 3T Allegra and 48 on a Siemens 3T Prisma, both with a 1 mm T1 MPRAGE. For the other 24, scans were taken from medical records because research imaging was delayed by the COVID-19 pandemic or was contraindicated. In the release, 21 of these are clinical MRI and 3 are clinical CT. Images were normalized with enantiomorphic registration in MATLAB.
Annotations
Lesions were traced by hand in ITK-SNAP on the research T1-weighted image where available and on the clinical scan otherwise. A neurologist and a second rater, blind to behavior, checked every mask.
Known limitations
Only normalized, skull-stripped images are shared, not raw scans or the FLAIR and T2 images of the research protocol, and the files of clinical cases carry the T1w label whatever their original contrast or modality. The README notes weaker skull stripping for some clinical images. Sex is not included in the participants file. All lesions are left hemispheric and chronic.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 105 subjects.
Sex
- Female 45 43%
- Male 59 57%
Modality
- MRI 102 97%
- CT 3 3%
image_modality in participants.tsv of OpenNeuro ds006533 snapshot 2.1.0 (CC0), columns participant_id, image_modality and age
Condition
Groups can overlap
- Stroke 105 100%
participant_id in participants.tsv of OpenNeuro ds006533 snapshot 2.1.0 (CC0), columns participant_id, image_modality and age
Field strength
- 3 T 80 76%
Age
mean 61.6 ± 12.1, range 25 to 82
age in participants.tsv of OpenNeuro ds006533 snapshot 2.1.0 (CC0), columns participant_id, image_modality and age; Table 1 in Duricy et al. 2025, Lesion-symptom mapping reveals differential relationships between language and precise versus approximate numeracy, Cortex 193
Contrast / sequence
Groups can overlap
- T1-weighted 81 77%
image_modality in participants.tsv of OpenNeuro ds006533 snapshot 2.1.0 (CC0), columns participant_id, image_modality and age
Scanner vendor
- Siemens Healthineers 80 76%
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
dataset_description.json of the OpenNeuro snapshot states "License" CC0.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Duricy E, Durisko C, Fiez JA. Lesion-symptom mapping reveals differential relationships between language and precise versus approximate numeracy. Cortex 193, 117-133 (2025). doi:10.1016/j.cortex.2025.10.008. And: Duricy E, Durisko C, Fiez JA. Using data-driven, lesion-symptom mapping to study the relationship between neural and theoretical components of numeracy. Neuropsychologia (2026). doi:10.1016/j.neuropsychologia.2026.109609.
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- Duricy et al. 2025, Lesion-symptom mapping reveals differential relationships between language and precise versus approximate numeracy, Cortex 193 paper
- participants.tsv of OpenNeuro ds006533 snapshot 2.1.0 (CC0), columns participant_id, image_modality and age computed
- BIDS file tree of OpenNeuro ds006533 snapshot 2.1.0 (CC0), sub-*/anat T1w NIfTI files and lesion masks under derivatives counted computed